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Frontiers in Artificial Intelligence|July 11, 2026
Security by design in artificial intelligence-enabled energy management systems: a sociotechnical frameworkTheodore Kindong, Gianluigi Viscusi, Björn Johansson
Frontiers in Artificial Intelligence|July 14, 2026
Operational intelligence for institutional processes: dynamic modeling and state-based decision policiesWilliam Villegas-Ch, Joselin Garcia-Ortiz, Christian Aristizábal, et al.
Frontiers in Artificial Intelligence|July 13, 2026
Query-guided learning for efficient and interpretable multi-class brain tumor classification in MRIB Uthra, R Sivashankari
Frontiers in Artificial Intelligence|July 16, 2026
A cross-validated deep learning framework for automated detection of DMBA-induced ovarian cancer from histopathological images with CA-125 biomarker supportJohn Sushma Nannepaga, Kusuma Kandati, Munisankar Matam, et al.
Frontiers in Artificial Intelligence|July 17, 2026
Bridging jurisdictions and legislatures: an LLM ensemble and arbiter framework for automated legal risk triage in digital mediaKhrystyna Lipianina-Honcharenko, Tetiana Drakokhrust, Pavlo Bykovyy, et al.
Frontiers in Artificial Intelligence|July 23, 2026
Systematic analysis of evaluation metrics for deep learning-based surgical phase recognition in laparoscopic cholecystectomyGizem Özkurt, Flakë Bajraktari, Peter P Pott
Frontiers in Artificial Intelligence|July 23, 2026
PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoringAreej Alhothali
Frontiers in Artificial Intelligence|July 24, 2026
Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortalityBing Han, Zhaowei Zhu, Rui Guo, et al.
Frontiers in Artificial Intelligence|July 31, 2026
MMCRAG-Resp: a multi-modal corrective retrieval-augmented generation framework for explainable respiratory disease reasoningA Anny Leema, S Rajashri, Mukundan Sriram, et al.
Frontiers in Artificial Intelligence|July 25, 2026
Interpretable polyp classification via end-to-end Concept Bottleneck Models with vision-language concept alignmentQiunan Ji, Zihe Feng, Xinjuan Liu, et al.
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